−40%
inventory costs
99.5%
delivery accuracy
200+
locations, real-time visibility
3×
faster planning cycles
The challenge
A manufacturing giant ran its supply chain on lagging indicators: inventory buffers set by gut feel, delivery promises made blind, and 200+ global locations reporting on spreadsheets that were stale before they were opened.
The solution
We wired the chain for real-time visibility — event streams from every location into a unified data platform — then put AI-driven predictive analytics on top: demand forecasting, inventory optimization and exception agents that flag disruptions before they cascade.
The results
Inventory costs fell 40% while delivery accuracy climbed to 99.5%. Planners now work from live data across all 200+ locations, and planning cycles that took weeks close in days.
SYSTEM AT A GLANCE
01Event streamsLive signals from 200+ global locations
02Unified data platformLakehouse on GCP + Databricks
03Predictive analyticsDemand forecasting, inventory optimization
04Exception agentsDisruptions flagged before they cascade
“For the first time, we see the whole chain move — before it moves against us.”
SVP SUPPLY CHAIN · GLOBAL MANUFACTURER